Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Soroosh Khodami discusses why we aren't ready ...

In late-stage testing of a distributed AI platform, engineers sometimes encounter a perplexing situation: every monitoring dashboard reads “healthy,” yet users report that the system’s decisions are ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...

Distributed systems are essential for powering modern solutions, from social media platforms to global e-commerce sites. These systems break down complex tasks by distributing them across multiple ...

Gaurav Bansal is a Senior Staff Software Engineer at Uber with 12+ years of experience in scalable, high-performance distributed systems. Every new tech business today builds distributed systems and ...

Maya is VP Product at Helios, a dev-first observability platform that helps dev and ops teams improve the reliability of distributed apps. Distributed tracing, a technique used to identify performance ...

Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...

Are today’s Distributed Control Systems ready for what tomorrow could bring? Johan Björklund of leading global technology company ABB believes they are. Here he looks at how the DCS is adapting to ...

Networked robotic systems are increasingly prevalent. In addition to industrial robotics now firmly ensconced in manufacturing, applications are also being developed in the areas of logistics, medical ...